Dwarakesh Baraneetharan

Computer Science  ·  Mathematics

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Incoming M.S. CS · Columbia · Sep 2026

I build systems at the edge of theory and practice.

Discipline
CS & Mathematics
Based in
New York, NY
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Distributed Systems◆Data Engineering◆Machine Learning◆Computer Vision◆Cloud Architecture◆Robotics (ROS 2)◆Systems Engineering◆Predictive Modeling◆REST APIs◆Algorithms◆Distributed Systems◆Data Engineering◆Machine Learning◆Computer Vision◆Cloud Architecture◆Robotics (ROS 2)◆Systems Engineering◆Predictive Modeling◆REST APIs◆Algorithms◆Distributed Systems◆Data Engineering◆Machine Learning◆Computer Vision◆Cloud Architecture◆Robotics (ROS 2)◆Systems Engineering◆Predictive Modeling◆REST APIs◆Algorithms◆Distributed Systems◆Data Engineering◆Machine Learning◆Computer Vision◆Cloud Architecture◆Robotics (ROS 2)◆Systems Engineering◆Predictive Modeling◆REST APIs◆Algorithms◆

Iamnineteen.IfinishedadoubledegreeincomputerscienceandmathematicsatMarylandintwoyears,andIstartamaster'satColumbiainamonth.

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years (B.S.)
01Selected work

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02Capabilities

Cloud & Data Engineering

01

Designing high-throughput ingestion pipelines, reliable data warehouses, and the scalable infrastructure to support them.

  • AWS
  • Snowflake
  • Docker
  • REST APIs
  • SQL
  • Redis

Machine Learning & Vision

02

Training predictive models and optimizing heavy inference pipelines for computer vision and NLP workloads.

  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLOv5
  • Pandas

Systems & Robotics

03

Writing tight control loops, concurrent backends, and low-latency hardware integrations.

  • C++
  • Rust
  • Python
  • Java
  • ROS 2

Mathematics

04

Applying theoretical foundations to solve practical optimization and algorithmic challenges.

  • Statistics
  • Data Science
  • Cryptography
  • Real Analysis

Open to conversations

Let’s build something unreasonable.

[email protected]All channels